Substitution in a Lebesgue integral

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SUMMARY

The discussion centers on proving the identity $$\int_\limits{g([a,b])}f(x)\,d\mu_x=\int_\limits{[a,b]}f(g(t))|g'(t)|\,d\mu_t$$ where ##f## is a Lebesgue summable function and ##g## is a differentiable mapping from ##[a,b]## to ##[c,d]##. Participants emphasize the necessity of ##g## being continuously differentiable (##g \in C^1[a,b]##) and its inverse also being continuously differentiable. The conversation references the Henstock integral as a more general approach to integration compared to the Lebesgue integral, with specific citations to Bartle's "A Modern Theory of Integration" and Jones's "Lebesgue Integration on Euclidean Space" for further reading.

PREREQUISITES
  • Understanding of Lebesgue integrals and summability (##L^1[c,d]##)
  • Knowledge of differentiable functions and their properties (##C^1[a,b]##)
  • Familiarity with the Henstock integral and its applications
  • Basic concepts of measure theory and absolute continuity
NEXT STEPS
  • Study the properties of Henstock integrals and their relation to Lebesgue integrals
  • Review Bartle's "A Modern Theory of Integration" for insights on integration theorems
  • Explore Jones's "Lebesgue Integration on Euclidean Space", particularly Chapter 16 on differentiation and change of variables
  • Investigate the implications of continuous differentiability on measure theory and integration
USEFUL FOR

Mathematicians, graduate students in analysis, and anyone interested in advanced integration techniques and the relationship between different integral definitions.

DavideGenoa
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Hi, friends! I read that, if ##f\in L^1[c,d]## is a Lebesgue summable function on ##[a,b]## and ##g:[a,b]\to[c,d]## is a differomorphism (would it be enough for ##g## to be invertible and such that ##g\in C^1[a,b]## and ##g^{-1}\in C^1[a,b]##, then $$\int_\limits{g([a,b])}f(x)\,d\mu_x=\int_\limits{[a,b]}f(g(t))|g'(t)|\,d\mu_t$$where $\mu$ is the linear Lebesgue measure.

I know that the function ##F## defined by $$F(x):=\int_\limits{[c,x]}f(\xi)\,d\mu_{\xi}$$is absolutely continuous, and that the derivative ##\varphi## of an absolutely continuous function ##\Phi:[c,d]\to\mathbb{R}##, which exists almost everywhere on ##[c,d]##, is such that $$\int_\limits{[c,d]}\varphi(\xi) \,d\mu_{\xi}=\Phi(d)-\Phi(c)$$but I cannot use these two facts alone to prove the desired result.
I do see, for ex. for a non-decreasing ##g##, that ##\frac{d}{dt}\int_\limits{[g(a),g(t)]}f(x)\,d\mu_x=F'(g(t))g'(t)## exists and is equal to ##f(g(t))g'(t)## for almost every ##g(t)## (and therefore for almost every ##t##, since I think that this implies that a homeomorphism like ##g## maps null measure sets to null measure sets), but I am not able to derived the desired identity from this.

How can it be proved? I thank you any answerer very much!
 
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Your question is a little unclear. Are you trying to prove g maps zero measure sets to zero measure sets or something else? The g property is trivially a result of g being C1.
 
mathman said:
Are you trying to prove g maps zero measure sets to zero measure sets or something else?
I am trying to prove that ##\int_\limits{g([a,b])}f(x)\,d\mu_x=\int_\limits{[a,b]}f(g(t))|g'(t)|\,d\mu_t##.
What follows in my previous posts is just an exposition of what I tried, of my background knowledge. I wrote that in order for potential answerers to know my level: I have studied only Kolmogorov-Fomin's Элементы теории функций и функционального анализа (##\approx## Introductory Real Analysys) and the absolute continuity of what I called ##F##, together with the equality ##\int_{[c,d]}\Phi'(\xi)\,d\mu_{\xi}=\Phi(d)-\Phi(c)##, are two results, which I know from that book, which I suppose to be related to the proof of what I am trying to prove: ##\int_\limits{g([a,b])}f(x)\,d\mu_x=\int_\limits{[a,b]}f(g(t))|g'(t)|\,d\mu_t##.
Thank you for your comment, mathman!
 
You can do this with Lebesgue theory, but I find the Henstock integral to give way neater and more general results of these things. Note that every Lebesgue integral is a special case of the Henstock integral.

Theorem: Let ##f:[c,d]\rightarrow \mathbb{R}## and let ##\Phi:[a,b]\rightarrow [c,d]## be continuous and strictly monotone and suppose that ##\Phi'(x)## exists for all points in ##[a,b]## except possibly countably many. Define ##\varphi(x) = \Phi'(x)## wherever defined and ##\varphi(x) = 0## on the countable set where it is not defined. Then
(a) ##f## is Henstock integrable on ##\Phi([a,b])## iff ##(f\circ \Phi)\cdot \varphi## is Henstock integrable on ##[a,b]##.
(b) ##f## is Lebesgue integrable on ##\Phi([a,b])## iff ##(f\circ \Phi)\cdot \varphi## is Lebesgue integrable on ##[a,b]##
(c) In both cases we have ##\int_{\Phi(a)}^{\Phi(b)} f = \int_a^b (f\circ \Phi)\cdot \varphi##.

Proof: Bartle, a modern theory of integration, Theorem 13.5

If you want to stay inside Lebesgue theory and choose not to use the superiority of the Henstock integral, then check out Jones "Lebesgue integration on Euclidean space" Section 16.4
 
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micromass said:
check out Jones "Lebesgue integration on Euclidean space" Section 16.4
Mmh... I have never studied the theory of the Henstock integral: just Kolmogorov-Fomin's as I said, so I think the proof you use is above my level...
As to Jones's Lebesgue integration on Euclidean space, I cannot find the exact part where it proves the desired result: what page(s)? I cannot find the 16.4 section... Thank you so much again!
 
DavideGenoa said:
Mmh... I have never studied the theory of the Henstock integral: just Kolmogorov-Fomin's as I said, so I think the proof you use is above my level...
As to Jones's Lebesgue integration on Euclidean space, I cannot find the exact part where it proves the desired result: what page(s)? I cannot find the 16.4 section... Thank you so much again!

Henstock integration is actually surprisingly simple to define. It's a lot like Riemann integration, just more general.

As for the Jones book, it is in the chapter "Differentation for functions on ##\mathbb{R}##", section "change of variables". I am using the revised edition though, maybe it's not in the original one.
 
DavideGenoa said:
sgue summable function on [a,b][a,b] and g:[a,b]→[c,d]g:[a,b]\to[c,d] is a differomorphism (would it be enough for gg to be invertible and such that g∈C1[a,b]g\in C^1[a,b] and g−1∈C1[a,b]g^{-1}\in C^1[a,b], then
∫g([a,b])f(x)dμx=∫[a,b]f(g(t))|g′(t)|dμt​
if we know this theorem for smooth ##f## then we know it for ##f\in L^1## since the space of smooth functions is dense in ##L^1[a,b]##
 
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micromass said:
As for the Jones book, it is in the chapter "Differentation for functions on ##\mathbb{R}##", section "change of variables".
Found. Section F of chapter 16. Thank you so much!
I follow the proof until it says that, since ##\phi_1\le\phi_2\le\ldots\le g\le\ldots\le\psi_2\le\psi_1##, the function ##g## is measurable. Why?
 

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